Answer:
False.
Explanation:
Most computers have options that allow you to change the language if needed.
Big-O notation is a way to describe a function that represents the n amount of times a program/function needs to be executed.
(I'm assuming that := is a typo and you mean just =, by the way)
In your case, you have two loops, nested within each other, and both loop to n (inclusive, meaning, that you loop for when i or j is equal to n), and both loops iterate by 1 each loop.
This means that both loops will therefore execute an n amount of times. Now, if the loops were NOT nested, our big-O would be O(2n), because 2 loops would run an n amount of times.
HOWEVER, since the j-loop is nested within i-loop, the j-loop executes every time the i-loop <span>ITERATES.
</span>
As previously mentioned, for every i-loop, there would be an n amount of executions. So if the i-loop is called an n amount of times by the j loop (which executes n times), the big-O notation would be O(n*n), or O(n^2).
(tl;dr) In basic, it is O(n^2) because the loops are nested, meaning that the i-loop would be called n times, and for each iteration, it would call the j-loop n times, resulting in n*n runs.
A way to verify this is to write and test program the above. I sometimes find it easier to wrap my head around concepts after testing them myself.
Answer:
D is the answer
Explanation:
Urban roads tend to be wider. Sometimes they are more interesting, but that does not always have to be the case. D
They are usually paved, especially in Canada and the United States. I have not seen very many urban roads that are not paved, even those of the edge of the urban areas. Not C. Not B either.
Few are narrow although there are exceptions. White Avenue in Edmonton Alberta is 4 lanes but it still seems narrow to me. It is very interesting however. Not A
Answer:
a defect in a software program that prevents it from working correctly
Explanation:
got it right on edge2021
